As described in Section , open-endedness combined with smooth, general capability scaling and the abrupt scaling of specific capabilities, is likely to lead to safety issues [1]}, [2]} that are found after a model has been developed and deployed. Additionally, these models also possess known (pre-deployment) safety issues for which we lack robust solutions [3]} (e.g, How do you ensure the system does not generate inappropriate and harmful outputs, such as making overtly sexist or racist comments [4]}? How do you identify bias issues in the system prior to deployment [5]}, [6]}? How do you ensure that when the model outputs a claim, it isn’t making up facts [7]}?, etc.).
